Research on financial management of Guangdong-Hong Kong-macao greater Bay Area based on LS-SVM algorithm and multi-model fusion

In order to study the financial management of the Guangdong-Hong Kong-Macao Greater Bay Area, this paper builds a financial analysis model based on the LS-SVM algorithm and analyzes the implementation process of the LS-SVM algorithm and its modeling process. Moreover, this paper conducts research on CUDA-based GPU high-performance computing methods, designs and implements the LS-SVM algorithm on the CUDA-based GPU platform, and compares and analyzes the performance before and after optimization. In addition, this paper combines the improved algorithm to construct the financial analysis model and verifies the effect of the method proposed in this paper through actual data analysis. The research results prove the effectiveness of this method. The Hausman test achieves the probability of 0.1005 and 9.60182558 chi-square statistics.